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LLM Honeypot
Trap Prompt Injection and Jailbreak attacks on LLMs
I built LLM Honeypot because LLM attacks like Prompt Injection are growing fast, but defensive tools are almost non-existent. Most solutions block attackers, that teaches us nothing. A honeypot deceives them with fake credentials and logs their techniques for threat intelligence. What started as a weekend project turned into something bigger. I'd love feedback from the security and AI communities! Live: https://llm-honeypot-xmac.onrender.com GitHub: https://github.com/romiisromie/llm-honeypot
I built LLM Honeypot because I noticed a gap: while LLM attacks like Prompt Injection and Jailbreaking are growing fast, there are almost no defensive tools available.
Most solutions just block attackers, but that teaches us nothing. A honeypot goes further: it deceives attackers, makes them think they succeeded, and logs their techniques for threat intelligence.
This started as a weekend project but turned into something bigger when I realized how effective deception can be for studying attacker behavior. I'd love feedback from the security and AI communities!
Try it: https://llm-honeypot-xmac.onrend...
GitHub: https://github.com/romiisromie/l...
About LLM Honeypot on Product Hunt
“Trap Prompt Injection and Jailbreak attacks on LLMs”
LLM Honeypot was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #109 on the daily leaderboard. I built LLM Honeypot because LLM attacks like Prompt Injection are growing fast, but defensive tools are almost non-existent. Most solutions block attackers, that teaches us nothing. A honeypot deceives them with fake credentials and logs their techniques for threat intelligence. What started as a weekend project turned into something bigger. I'd love feedback from the security and AI communities! Live: https://llm-honeypot-xmac.onrender.com GitHub: https://github.com/romiisromie/llm-honeypot
On the analytics side, LLM Honeypot competes within Open Source, Artificial Intelligence, GitHub and Security — topics that collectively have 583.4k followers on Product Hunt. The dashboard above tracks how LLM Honeypot performed against the three products that launched closest to it on the same day.
Who hunted LLM Honeypot?
LLM Honeypot was hunted by Ramina Ibraimova. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LLM Honeypot including community comment highlights and product details, visit the product overview.
Ramina Ibraimova